Gregory Ditzler
Orcid: 0000-0001-6890-0935
According to our database1,
Gregory Ditzler
authored at least 65 papers
between 2010 and 2023.
Collaborative distances:
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Bibliography
2023
Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Ovarian cancer detection using optical coherence tomography and convolutional neural networks.
Neural Comput. Appl., 2022
Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks.
CoRR, 2022
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal.
CoRR, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Inter-Architecture Portability of Artificial Neural Networks and Side Channel Attacks.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022
2021
CoRR, 2021
IEEE Access, 2021
Intelligent Jamming of Deep Neural Network Based Signal Classification for Shared Spectrum.
Proceedings of the 2021 IEEE Military Communications Conference, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
Convolutional neural networks for pavement roughness assessment using calibration-free vehicle dynamics.
Comput. Aided Civ. Infrastructure Eng., 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A Light-Weight Monocular Depth Estimation with Edge-Guided Occlusion Fading Reduction.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments.
IEEE Trans. Ind. Electron., 2019
Inf. Sci., 2019
Inf. Sci., 2019
Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation.
CoRR, 2019
Proceedings of the International Conference on Computing, Networking and Communications, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Signal Process., 2018
The impact of encoding-decoding schemes and weight normalization in spiking neural networks.
Neural Networks, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Malicious HTML File Prediction: A Detection and Classification Perspective with Noisy Data.
Proceedings of the 15th IEEE/ACS International Conference on Computer Systems and Applications, 2018
2017
Speeding up joint mutual information feature selection with an optimization heuristic.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017
High Performance Machine Learning (HPML) Framework to Support DDDAS Decision Support Systems: Design Overview.
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017
A fast information-theoretic approximation of joint mutual information feature selection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
A Self-Protection Agent Using Error Correcting Output Codes to Secure Computers and Applications.
Proceedings of the 2017 International Conference on Cloud and Autonomic Computing, 2017
Proceedings of the 2017 International Conference on Cloud and Autonomic Computing, 2017
Proceedings of the 2017 International Conference on Cloud and Autonomic Computing, 2017
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Scaling a neyman-pearson subset selection approach via heuristics for mining massive data.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013
2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2011
2010
Incremental Learning of New Classes in Unbalanced Datasets: Learn<sup> + + </sup>.UDNC.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010
An ensemble based incremental learning framework for concept drift and class imbalance.
Proceedings of the International Joint Conference on Neural Networks, 2010
An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010